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Researcher · Qualcomm (United Kingdom) · United Kingdom

Debasmit Das

Debasmit Das publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Multimodal Machine Learning Applications.

ORCID 0000-0003-2910-5079 OpenAlex
World rank
#2,391,895
of 7,710,434 ranked researchers
Rank in United Kingdom
#170,309
of 367,258
Works
45
Citations
522
Citations per work
11.6
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
Debasmit Das

What does Debasmit Das research?

Debasmit Das's work is mostly in Computer Science (77%), Medicine (5%), Engineering (2%).

Physical Sciences: 36 works · 79.6% of their workComputer Science: 35 works · 77.2% of their workComputer Vision and Pattern Recognition: 17 works · 37.8% of their workArtificial Intelligence: 13 works · 29.1% of their workSignal Processing: 4 works · 7.9% of their workInformation Systems: 1 works · 2.4% of their workEngineering: 1 works · 2.4% of their workControl and Systems Engineering: 1 works · 2.4% of their workEverything else: 7 works · 15.7% of their workHealth Sciences: 2 works · 4.7% of their workMedicine: 2 works · 4.7% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 4.7% of their workTHEIR WORKDebasmit Das45works
Physical Sciences80%Health Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science3577.2%
    2. Engineering12.4%
  2. Everything else715.7%
    1. Medicine24.7%
  1. 1Computer Vision and Pattern Recognition38% of their works
  2. 2Artificial Intelligence29% of their works
  3. 3Signal Processing8% of their works
  4. 4Radiology, Nuclear Medicine and Imaging5% of their works
  5. 5Information Systems2% of their works
  6. 6Control and Systems Engineering2% of their works

Research topics

Which keywords describe Debasmit Das's research?

The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Representation Learning, Transfer Learning, Domain Adaptation, Few-Shot Learning, Neural Networks and Convolutional Neural Networks.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning406 topics
  2. Unsupervised Learning313 topics
  3. Representation Learning272 topics
  4. Transfer Learning262 topics
  5. Domain Adaptation211 topic
  6. Few-Shot Learning211 topic
  7. Neural Networks193 topics
  8. Convolutional Neural Networks172 topics
  9. Image Recognition121 topic
  10. Object Detection121 topic
  11. Image Captioning91 topic
  12. Visual Question Answering91 topic
  13. Generative Adversarial Networks61 topic
  14. Image Synthesis61 topic
  15. COVID-1951 topic
  16. Medical Imaging51 topic
  17. Audio-Visual Speech Recognition41 topic
  18. Contrast Enhancement41 topic
  19. Dehazing41 topic
  20. Depth Estimation41 topic
  21. Speech Enhancement41 topic
  22. Stereo Vision41 topic

Where does Debasmit Das work?

Debasmit Das's main affiliation in the publication record is Qualcomm (United Kingdom), United Kingdom.

How many publications and citations does Debasmit Das have?

OpenAlex counts 45 works and 522 citations for Debasmit Das, an h-index of 9, ranking #2,391,895 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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